Xiaomi 24069PC21G
Geekbench AI Score
1329
Single Precision Score
2132
Half Precision Score
1695
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | fermallow |
| Upload Date | September 04 2025 06:21 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Xiaomi 24069PC21G |
| Model ID | Xiaomi 24069PC21G |
| Motherboard | pineapple |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.01 GHz |
| Memory Information | |
|---|---|
| Size | 7.13 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
964
179.2 IPS |
|
|
Image Classification (HP)
|
100% |
1384
257.4 IPS |
|
|
Image Classification (Q)
|
100% |
1370
254.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1811
29.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2971
48.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2454
39.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5961
6.96 IPS |
|
|
Pose Estimation (HP)
|
99% |
10620
12.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
10440
12.2 IPS |
|
|
Object Detection (SP)
|
100% |
638
50.6 IPS |
|
|
Object Detection (HP)
|
99% |
920
73.0 IPS |
|
|
Object Detection (Q)
|
87% |
867
69.6 IPS |
|
|
Face Detection (SP)
|
100% |
2736
32.5 IPS |
|
|
Face Detection (HP)
|
100% |
5193
61.7 IPS |
|
|
Face Detection (Q)
|
97% |
4598
54.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3120
24.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
5264
40.7 IPS |
|
|
Depth Estimation (Q)
|
61% |
4054
39.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7479
9.61 IPS |
|
|
Style Transfer (HP)
|
100% |
15156
19.5 IPS |
|
|
Style Transfer (Q)
|
98% |
15086
19.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1319
48.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2096
77.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2081
77.1 IPS |
|
|
Text Classification (SP)
|
35% |
35
338.9 IPS |
|
|
Text Classification (HP)
|
35% |
55
496.6 IPS |
|
|
Text Classification (Q)
|
33% |
42
499.1 IPS |
|
|
Machine Translation (SP)
|
100% |
882
15.2 IPS |
|
|
Machine Translation (HP)
|
97% |
1014
17.5 IPS |
|
|
Machine Translation (Q)
|
43% |
262
14.9 IPS |
